Data-based predictive control for networked nonlinear systems with packet dropout and measurement noise |
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| Authors: | Zhonghua Pang Guoping Liu Donghua Zhou Dehui Sun |
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| Institution: | 1.Key Laboratory of Fieldbus Technology and Automation of Beijing,North China University of Technology,Beijing,China;2.School of Engineering,University of South Wales,Pontypridd,UK;3.CTGT Center,Harbin Institute of Technology,Harbin,China;4.College of Electrical Engineering and Automation,Shandong University of Science and Technology,Qingdao,China;5.Department of Automation,Tsinghua University,Beijing,China |
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| Abstract: | In this paper, the data-based control problem is investigated for a class of networked nonlinear systems with measurement noise as well as packet dropouts in the feedback and forward channels. The measurement noise and the number of consecutive packet dropouts in both channels are assumed to be random but bounded. A data-based networked predictive control method is proposed, in which a sequence of control increment predictions are calculated in the controller based on the measured output error, and based on the control increment predictions received by the actuator, a proper control action is obtained and applied to the plant according to the real-time number of consecutive packet dropouts at each sampling instant. Then the stability analysis is performed for the networked closedloop system. Finally, the effectiveness of the proposed method is illustrated by a numerical example. |
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